R: Estimate the background for individual banks

do.fit.banks {BBEST}

R Documentation

Estimate the background for individual banks

Description

do.fit estimates the background for individual banks according to the Bayesian approach using the Differential Evolution algorithm

Usage

do.fit.banks(data, bounds.lower, bounds.upper, knots.n.left, 
             knots.n.right, x.boundary, analytical=FALSE, control, 
             save.to="")

Arguments

`data`	an object of type `data`. See `set.data` for details.
`bounds.lower`, `bounds.upper`	numerics, lower and upper bounds for the fitted spline values.
`knots.n.left`, `knots.n.right`, `x.boundary`	numerics that specify the number of knots. `knots.n.left` and `knots.n.right` knots are created on the left and on the right of `x.boundary` point, respectively.
`analytical`	logical. If `TRUE` background is approximated by an analytical function `f(x)=P_1\exp(-P_2x)x^{P_3} + P_4/[(x-P_5)^2+P_6^2]`.
`control`	list, the return value of `set.control`. Specifies various parameters of the Differential Evolution optimization algorithm implemented in `DEoptim`.
`save.to`	character, a filename for saving the results.

Details

This function simplifies the procedure for estimating the background for several detector banks by a multiple call of do.fit. Other relevant parameters are set to: stdev=FALSE, scale=NA, p.bkg=.5.

For neutron scattering, the incoherent background exhibits a broad peak at low Q and decays gradually at higher Q. Hence, we suggest to use different numbers of knots for the low- and high-Q regions. See BBEST-package for details.

Value